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Python Systems Engineer - Up to $160,000 + Equity!!

CardinalHire

Python Systems Engineer - Up to $160,000 + Equity!!

San Francisco, CA
Paid
  • Responsibilities

    Company Description
    Our startup is the Cyber Security Investigation Platform that enables cybersecurity teams to know the data that matters, ask the questions they need and get answers to use cases at scale in seconds. We are a diverse group of natural language processing (NLP), machine learning, security, product design, and data visualization experts that believe data-empowered people power the success of the organization. We have deep consumer technology roots that are reflected in our approach to product development.

    Required Skills: Python, AWS, PostgreSQL, NoSQL, API’s, Data Processing

    Job Description
    We are looking for a Python Systems Engineer to make complex data systems more accessible, understandable, and usable for more people. By integrating data systems and natural language models with APIs, we create powerful, easy to use products. We are looking for an engineer who enjoys writing scalable code in Python and designing clean object-oriented components and HTTP APIs. As an integral part of our technology team, you will work on our core Python systems, including data pipelines, web APIs, and our natural language query engine. You’ll integrate various systems, optimize performance, and develop reliable data-driven architectures and applications, making a significant impact on our products.

    General Requirements

    • Strong Computer Science fundamentals (CS or relevant 4-year technical degree a plus)
    • 3+ years of Python software development
    • Familiar with at least one database query language, such as SQL, or with NoSQL storage systems like Elastic or Redis
    • Use engineering best practices - deliver high code quality, automated testing, and build reusable components
    • Cloud deployment experience on AWS, Azure, GCP, or similar platform
    • Authorized to work in the United States

    Responsibilities

    • Index, understand, and normalize messy data to enable high-performance analytics
    • Optimize database queries and surrounding code for efficient real-time processing
    • Scale and maintain data processing pipelines
    • Craft easy-to-use APIs for machine learning, natural language, and data visualization applications
    • Leverage existing open source technologies like Kafka, Druid, Spark, PostgreSQL, Elastic, and other tools
    • Make data more accessible using natural language technologies

    Benefits

    • Health, dental, vision and life Insurance
    • Short-term and long-term disability insurance
    • Health care Flexible Spending Account
    • Transit and parking Flexible Spending Account
    • Free lunch
    • Flexible work hours
    • Holiday time off
    • Open vacation policy

    #ZR